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Gemma 3n E4B vs Grok-2 mini
Comprehensive side-by-side LLM comparison
Gemma 3n E4B leads with 6.2% higher average benchmark score. Overall, Gemma 3n E4B is the stronger choice for coding tasks.
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Gemma 3n E4B is a multimodal language model developed by Google. It achieves strong performance with an average score of 64.6% across 11 benchmarks. It excels particularly in ARC-E (81.6%), BoolQ (81.6%), PIQA (81.0%). As a multimodal model, it can process and understand text, images, and other input formats seamlessly. Released in 2025, it represents Google's latest advancement in AI technology.
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xAI
Grok-2 mini is a multimodal language model developed by xAI. It achieves strong performance with an average score of 74.1% across 8 benchmarks. It excels particularly in DocVQA (93.2%), MMLU (86.2%), HumanEval (85.7%). As a multimodal model, it can process and understand text, images, and other input formats seamlessly. Released in 2024, it represents xAI's latest advancement in AI technology.
10 months newer
Grok-2 mini
xAI
2024-08-13
Gemma 3n E4B
2025-06-26
Average performance across 19 common benchmarks
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Gemma 3n E4B
Average Score:37.4%(+6.2%)
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Grok-2 mini
Average Score:31.2%
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Knowledge Cutoff
Training data recency comparison
Gemma 3n E4B
2024-06-01
More recent knowledge cutoff means awareness of newer technologies and frameworks
Provider Availability & Performance
Available providers and their performance metrics
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Gemma 3n E4B
0 providers
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Grok-2 mini
0 providers
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Gemma 3n E4B
Avg Score:37.4%(+6.2%)
Providers:0
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Grok-2 mini
Avg Score:31.2%
Providers:0